Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in type-safe systems
Senior Software Engineer specializing in cloud-native distributed systems and FinTech
Mid-level Software Engineer specializing in backend systems and healthcare IT
Mid-level Full-Stack Developer specializing in Java, React, and cloud-native web apps
Senior Full-Stack Engineer specializing in scalable web, mobile, and cloud platforms
Mid-level Software Engineer specializing in SaaS platforms and AI-enabled development
Mid-level Python Developer specializing in cloud-native FinTech platforms
Mid-level Full-Stack Engineer specializing in iOS, web, and distributed systems
Mid-level Software Engineer specializing in full-stack and cloud platform development
Mid-level Software Engineer specializing in FinTech and AI-driven distributed systems
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Mid-level Full-Stack Engineer specializing in Java (Jakarta EE) and React/Angular
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Senior Front-End Engineer specializing in React platforms and web experiences
Mid-level Full-Stack Software Engineer specializing in enterprise healthcare and telecom
Senior Frontend Engineer specializing in high-performance React/Next.js web apps
“Frontend engineer with experience at Autodesk and Quantify, leading and scaling Next.js/React + TypeScript products from architecture through QA. Strong focus on performance (Core Web Vitals, ISR, caching/CDN) and real-time interfaces (WebSockets, Chart.js/D3), with measurable wins like 30–40% bundle reduction and ~60% less data overfetching using GraphQL/Apollo.”
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”